QA Automation Engineer AI/ML

Requirements:

• Experience in QA automation, with strong programming skills in Python, Java, or a similar language
• Knowledge of AI/ML concepts and practical experience applying AI/ML techniques to software testing or quality assurance
• Familiarity with secure access technologies, zero-trust security models, and network security principles
• Experience with AWS DevOps tools and CI/CD pipelines; AI/ML integration experience is preferred
• Understanding of security risks affecting AI/ML workloads and strategies to mitigate them
• Strong analytical and problem-solving skills, with attention to detail
• Ability to collaborate in a fast-paced, cross-functional team environment

Responsibilities:

• Develop and maintain automated test suites for secure access products, using AI/ML techniques to improve test coverage and efficiency
• Apply AI/ML models to identify redundant test cases, optimize test execution, and predict potential failure points to reduce production errors
• Collaborate with cross-functional teams to automate policy creation, testing, and troubleshooting for secure access features
• Use AI-driven analytics to detect advanced security threats and validate security controls in secure access environments
• Help design and implement AI/ML-powered DevOps pipelines for autonomous testing and CI/CD
• Ensure AI/ML model use and data handling comply with security standards and best practices
• Monitor and analyze test results, sharing actionable insights to improve product quality and security
• Keep up to date with emerging AI/ML technologies and security trends relevant to secure access solutions

Technologies:

• AI
• AWS
• CI/CD
• DevOps
• Java
• Network
• Python
• Security
• Cloud

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We are hiring a full-time QA Automation Engineer specializing in AI/ML. The role is remote, with a San Jose, California location and hybrid work noted.

last updated 44 week of 2026